Papers
3
Total Citations
26
H-Index
3
About
Michael Boc’s research lies at the intersection of industrial automation and multi-agent robotics, with a focus on creating flexible, self-organizing systems. His most influential work, “Towards Flexibility in Future Industrial Manufacturing” (18 citations), proposes a global framework where production cells can autonomously reconfigure—adding new devices or functionalities—to adapt to changing demands without human intervention. This foundational contribution addresses a critical bottleneck in modern manufacturing. Boc also advances decentralized control theory for robotic swarms. In his hybrid framework for non-holonomic robots (5 citations), he introduces a novel strategy where each robot’s continuous motion is guided by piecewise-constant reference jumps, enabling consensus and formation control even in asynchronous, directed networks (3 citations). By blending continuous dynamics with discrete events, Boc’s hybrid approach overcomes traditional limitations in scalability and communication constraints. His work is pivotal for students and researchers exploring Industry 4.0, autonomous fleets, and resilient cyber-physical systems, offering practical pathways toward truly adaptive, self-organizing production environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hybrid framework for consensus in fleets of non-holonomic robots5 citations · 2018
- 3